Abstract

There are several ways to define basic transport relations in an studied area. Generally, the values have to represent relevant and real situation. The quality of data sources is the determining factor of transport forecast quality. The basic purpose of transportation planning and management is to match transportation supply with travel demand, which represents 'need'. A thorough understanding of existing travel pattern is necessary for identifying and analysing existing traffic related problems. Detailed data on current travel pattern and traffic volumes are needed also for developing travel forecasting/prediction models. The prediction of future travel demands is an essential task of the long-range transportation planning process for determining strategies for accommodating future needs. The transport forecast process estimates the number of vehicles or people that will use a specific transportation facility in the future. The article describes gathering and analysing process of available data for Slovak regions. The mathematical model of forecast transport relations needs a unique form of input data and special computing parameters. The aim of paper is to describe the implementation of the existing data to the transport forecast calculation. The output data, which are evaluated from the forecast transport model, have to describe a real vision of the region development. The sets of function parameters (measurable or unmeasurable) are edited by using different results of surveys that are often complicated and very time-consuming.

Highlights

  • Solutions of traffic problems in the town, which are formatted by the influence of strong inter-zone relations and other development intentions, are necessary to be carried out complexly in a general context in order to ensure sustainable regional development

  • The correctly defined traffic model allows evaluating new development activities impact on the road infrastructure loading and allows evaluating alternative solutions of increased traffic problems, too

  • The transport analysis and transport prediction models are generally solved by using the Four-step model that was for the first time implemented in Detroit at the Metropolitan Area Traffic Study in 1950

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Summary

Four-step model

Solutions of traffic problems in the town, which are formatted by the influence of strong inter-zone relations and other development intentions, are necessary to be carried out complexly in a general context in order to ensure sustainable regional development. This can be ensured by creation of a traffic model. Trip generation predicts the number of trips originating in a particular traffic analysis zone. The second step of four-step model - Trip distribution (or destination choice or zonal interchange analysis) - matches trip makers’ origins and destinations to develop a “trip table”. The industrial zones are the most attractive for trips induced by a destination zone

Data gathering
Input data
Data gathering process
Volume delay function
Parameter setting
The impedance
Conclusion
Full Text
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